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All Journal Dinamika Teknik Mesin : Jurnal Keilmuan dan Terapan Teknik Mesin Golden Ratio of Data in Summary
Adriansyah, A.
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Aerospace Engineering Automotive Engineering Economics, Econometrics & Finance Mechanical Engineering Physics Social Sciences

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Evaluasi sifat mekanik baja paduan rendah bedasarkan komposisi kimia dan suhu perlakuan panas menggunakan teknik exploratory data analysis (EDA) Leni, D.; Earnestly, F.; Sumiati, R.; Adriansyah, A.; Kusuma, Y.P.
Dinamika Teknik Mesin: Jurnal Keilmuan dan Terapan Teknik Mesin Vol 13, No 1 (2023): Dinamika Teknik Mesin: Jurnal Keilmuan dan Terapan Teknik Mesin
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dtm.v13i1.624

Abstract

This research aims to evaluate the relationship between the chemical composition of low alloy steel, temperature, and the mechanical properties of low alloy steel using Exploratory Data Analysis (EDA) techniques. The low alloy steel dataset is visualized using a correlation heat map, which shows a relationship between the mechanical properties of low alloy steel and its chemical composition and heat treatment temperature. Based on the results of the correlation heat map, an evaluation is carried out using scatterplots. The visualization results with scatterplots show a trend line indicating a linear relationship between YS and the elements V, Ni, and Mn, as well as a positive relationship between TS and V. In addition, there are determination coefficients (R²) that show how well the trend line can explain the variation of the data. The R² values obtained for V are 0.405, Ni is 0.226, Mn is 0.159, and Mo is 0.130, while El and RA have a positive correlation with temperature with R²values of 0.166 and 0.320, respectively. It can be concluded that the evaluation results using scatterplots and R² show that variations in chemical composition and heat treatment temperature affect the mechanical properties of low alloy steel. The correlations that occur between these variables can help in determining the pattern of the relationship and evaluating how well the trend line can explain the variation of the data. The use of correlation heat maps and scatter plots can help in decision-making and developing low-alloy steel materials that meet specific needs.
Evaluasi sifat mekanik baja paduan rendah bedasarkan komposisi kimia dan suhu perlakuan panas menggunakan teknik exploratory data analysis (EDA) Leni, D.; Earnestly, F.; Sumiati, R.; Adriansyah, A.; Kusuma, Y.P.
Dinamika Teknik Mesin Vol 13, No 1 (2023): Dinamika Teknik Mesin: Jurnal Keilmuan dan Terapan Teknik Mesin
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/dtm.v13i1.624

Abstract

This research aims to evaluate the relationship between the chemical composition of low alloy steel, temperature, and the mechanical properties of low alloy steel using Exploratory Data Analysis (EDA) techniques. The low alloy steel dataset is visualized using a correlation heat map, which shows a relationship between the mechanical properties of low alloy steel and its chemical composition and heat treatment temperature. Based on the results of the correlation heat map, an evaluation is carried out using scatterplots. The visualization results with scatterplots show a trend line indicating a linear relationship between YS and the elements V, Ni, and Mn, as well as a positive relationship between TS and V. In addition, there are determination coefficients (R²) that show how well the trend line can explain the variation of the data. The R² values obtained for V are 0.405, Ni is 0.226, Mn is 0.159, and Mo is 0.130, while El and RA have a positive correlation with temperature with R²values of 0.166 and 0.320, respectively. It can be concluded that the evaluation results using scatterplots and R² show that variations in chemical composition and heat treatment temperature affect the mechanical properties of low alloy steel. The correlations that occur between these variables can help in determining the pattern of the relationship and evaluating how well the trend line can explain the variation of the data. The use of correlation heat maps and scatter plots can help in decision-making and developing low-alloy steel materials that meet specific needs.
Implementation and Analysis of Distributed Cache Architecture Between Virtual Machines in VMware to Reduce Memory Access Latency Riwurohi, Jan Everhard; Syahrir, Muh.; Muslich, Muhammad Farid; Nurman, Indra; Adriansyah, A.
Golden Ratio of Data in Summary Vol. 6 No. 1 (2026): November - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v6i1.1838

Abstract

Virtualization technology allows multiple virtual machines (VMs) to run on a single physical machine, improving efficiency and flexibility. However, virtualized systems often face performance problems such as high memory access latency and repeated data requests between VMs. To address this issue, this study implements a distributed caching system using Redis as an in-memory cache shared between virtual machines. The experiment was conducted on the VMware vSphere platform using two virtual machines: one VM acted as a Redis cache server, and the other as a client for testing. Both VMs were connected using a host-only network to ensure stable communication. Testing was performed in two scenarios: without cache and with Redis cache, each executed 10 times. The main metric measured was response time in seconds. The results show a clear performance improvement after using Redis. The average response time without cache was 0.0113 seconds, while with Redis cache it decreased to 0.00046 seconds. This indicates that Redis reduced memory access latency by approximately 97.6%. The system also remained stable during testing without any connection issues. In conclusion, implementing a distributed caching architecture using Redis effectively improves response time, reduces memory access latency, and enhances system performance in a VMware virtualized environment. This study can serve as a reference for developing more efficient and responsive virtualization systems in modern computing environments.
Co-Authors Earnestly, F. Kusuma, Y.P. Leni, D. Muslich, Muhammad Farid Nurman, Indra Ruwirohi, Jan Everhard Sumiati, R. Syahrir, Muh.